A system and a method for a crowd surveillance device comprising a multi-sensor system connected to a processing device, wherein the processing device comprises an image fusion module for receiving images from the multi-sensor system, transforming and fusing images into a fused image; an image analytic module for extracting each individual target and identifying any conceal object on the individual target, an alert triggering module for triggering an alert in the event a conceal object on the individual target is identified.
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2. A crowd surveillance device of claim 1, wherein the multi-sensor system is connected to the processing device through a wired connection.
A crowd surveillance system monitors and analyzes crowd behavior in public or high-traffic areas to detect anomalies, security threats, or safety risks. The system uses a multi-sensor setup, including cameras, microphones, and environmental sensors, to gather real-time data. A processing device analyzes this data to identify patterns, track movements, and assess crowd density, providing alerts or triggering automated responses when potential issues are detected. The system may also integrate with external databases or communication networks to enhance situational awareness. In this variation, the multi-sensor system is connected to the processing device through a wired connection, ensuring stable, high-bandwidth data transmission with minimal latency. This wired link may use Ethernet, fiber optics, or other high-speed cabling to maintain reliable communication between sensors and the processing unit, reducing the risk of signal interference or data loss compared to wireless alternatives. The system may also include redundancy features, such as backup power supplies or failover mechanisms, to maintain continuous operation. The wired connection allows for seamless integration with existing infrastructure, making it suitable for permanent installations in airports, stadiums, or urban surveillance networks. The system may further incorporate machine learning algorithms to improve detection accuracy over time, adapting to changing crowd dynamics and environmental conditions.
3. A crowd surveillance device of claim 1, wherein the multi-sensor system is connected to the processing device through a wireless connection.
A crowd surveillance system monitors and analyzes crowd behavior using a multi-sensor system and a processing device. The multi-sensor system includes at least one sensor, such as cameras, microphones, or motion detectors, to capture data from a crowd. The processing device analyzes this data to detect anomalies, track individuals, or assess crowd density. The system may also include a communication module to transmit alerts or data to external systems. In this specific configuration, the multi-sensor system connects to the processing device wirelessly, allowing for flexible deployment without physical wiring. This wireless connection enables real-time data transmission and reduces installation complexity. The system may be used in public spaces, events, or transportation hubs to enhance security and crowd management. The wireless link ensures reliable communication while maintaining mobility for the sensors. The processing device may further integrate machine learning algorithms to improve detection accuracy and adapt to different environments. This setup enhances situational awareness and response capabilities in dynamic crowd scenarios.
4. A crowd surveillance device of claim 1, wherein the alert triggering module is adapted to storing the alert, the images and related information to a database server connected to the processing device.
A crowd surveillance system monitors public areas to detect suspicious activities and generate alerts. The system uses image processing to analyze video feeds from cameras, identifying potential threats such as unattended objects, unusual movements, or crowd behavior anomalies. When a threat is detected, the system triggers an alert and stores the alert data, including images and related contextual information, in a centralized database server. The database server is connected to the processing device that performs the analysis, ensuring that all alert records are preserved for review, investigation, or further action. This allows security personnel to access historical data, track patterns, and improve response strategies. The system may also integrate with other surveillance tools or emergency response systems to enhance situational awareness and coordination. By automating threat detection and centralized data storage, the system improves efficiency in monitoring large public spaces and reduces the risk of missed or delayed responses to potential security incidents.
5. A crowd surveillance device of claim 4, wherein the processing device is adapted to connect to an alert visualization device displaying an alert, images and the information.
A crowd surveillance system monitors public areas to detect and respond to potential threats or incidents. The system includes sensors, such as cameras or microphones, that capture real-time data from a monitored environment. A processing device analyzes this data to identify suspicious activities, anomalies, or predefined triggers. When a threat is detected, the system generates an alert and transmits it to an alert visualization device. This device displays the alert alongside relevant images and additional contextual information, such as location data or historical records, to assist security personnel in assessing and responding to the situation. The system may also integrate with external databases or communication networks to enhance situational awareness. The processing device can be configured to prioritize alerts based on severity or urgency, ensuring that critical threats receive immediate attention. The alert visualization device provides a centralized interface for monitoring multiple surveillance feeds, allowing operators to quickly identify and address potential risks in crowded environments. The system aims to improve public safety by enabling rapid detection and response to incidents in real time.
6. A crowd surveillance device of claim 5, wherein the image fusion module comprises a hardware or software module adapted to transform images received and find a mutual alignment by solving the correspondence problem in computer vision.
A crowd surveillance device includes an image fusion module designed to process and align images from multiple sources. The module operates by transforming received images and solving the correspondence problem in computer vision, which involves determining matching points or features between different images to achieve accurate alignment. This alignment is essential for creating a coherent, unified view of a scene from multiple perspectives, improving surveillance accuracy and situational awareness. The module can be implemented in hardware or software, depending on system requirements. The device may also include other components, such as sensors, processing units, and communication interfaces, to capture, analyze, and transmit surveillance data. The overall system enhances monitoring capabilities in crowded environments by integrating and aligning visual data from diverse sources, reducing blind spots and improving real-time analysis. This technology addresses challenges in multi-camera surveillance, where misalignment or discrepancies between feeds can lead to incomplete or inaccurate monitoring. The solution ensures that images from different angles or devices are properly synchronized, enabling more reliable detection and tracking of individuals or events in crowded settings.
8. A crowd surveillance device of claim 7, wherein the alert triggering module is adapted to analyse the suspicious target and concealed object identified from image analytic module across multiple frames.
This invention relates to crowd surveillance systems designed to detect suspicious behavior and concealed objects in public spaces. The system addresses the challenge of identifying potential threats in real-time by analyzing video footage to detect anomalies in human behavior and hidden objects. The surveillance device includes an image analytic module that processes video frames to identify suspicious targets and concealed objects. The alert triggering module further analyzes these detections across multiple frames to confirm and validate the presence of threats, reducing false positives. The system enhances security by continuously monitoring crowds and flagging suspicious activity for further investigation. The device is particularly useful in high-risk areas such as airports, public events, and transportation hubs, where early detection of concealed weapons or suspicious behavior is critical. The multi-frame analysis improves accuracy by tracking objects and individuals over time, ensuring reliable threat detection. The invention combines computer vision and behavioral analysis to provide a robust surveillance solution for public safety.
9. A crowd surveillance device of claim 8, wherein the processing device is associated with a database server for storing and retrieving image data.
A crowd surveillance system monitors and analyzes public spaces to detect and track individuals or objects of interest. The system includes a network of cameras capturing real-time video feeds, which are processed by a central processing device to identify suspicious activities, unauthorized access, or other predefined events. The processing device uses computer vision algorithms to analyze the video data, including facial recognition, object detection, and behavioral pattern analysis. The system can generate alerts when potential threats are detected, allowing for rapid response by security personnel. The processing device is connected to a database server that stores and retrieves image data for comparison and historical analysis. The database stores captured images, video segments, and metadata such as timestamps and location information. The system can cross-reference new data with stored records to identify known individuals or objects, track movement patterns, and correlate events across multiple locations. The database also supports long-term storage for forensic investigations and compliance reporting. The system may integrate with other security infrastructure, such as access control systems or emergency response networks, to enhance situational awareness and coordination. The processing device can prioritize alerts based on threat severity and location, ensuring efficient resource allocation. The database server ensures data integrity and accessibility, allowing authorized personnel to retrieve and analyze historical data as needed. This system improves public safety by enabling proactive surveillance and rapid incident response.
10. A crowd surveillance device of claim 9, wherein the database server is connected to an alert visualisation device.
A crowd surveillance system monitors and analyzes crowd behavior in real-time to detect anomalies or potential threats. The system includes multiple sensors, such as cameras or motion detectors, distributed across a monitored area to capture data on crowd movements, density, and behavior patterns. A processing unit analyzes this data to identify unusual activities, such as sudden crowd movements, congestion, or suspicious behavior, by comparing the observed data against predefined thresholds or machine learning models trained on historical data. When an anomaly is detected, the system generates an alert and transmits it to a database server, which stores the alert data for further analysis and record-keeping. The database server is connected to an alert visualization device, such as a dashboard or display screen, which presents the alerts in a user-friendly format, allowing security personnel or operators to quickly assess the situation and take appropriate action. The visualization device may include features like real-time alerts, historical data trends, and interactive maps to enhance situational awareness. The system may also integrate with external systems, such as emergency response networks, to facilitate coordinated responses. The goal is to improve public safety by enabling early detection and response to crowd-related incidents.
11. A crowd surveillance device of claim 10, wherein the database server is adapted to collect and store information of suspects once there is an alert asserted by the processing device.
A crowd surveillance system monitors public areas to detect suspicious behavior or individuals. The system includes cameras, sensors, and processing devices that analyze real-time data to identify potential threats. When a threat is detected, an alert is triggered. The system then collects and stores detailed information about the suspect, including visual data, location, and behavioral patterns, in a centralized database server. This stored data can be used for further investigation, law enforcement coordination, or pattern analysis to improve future threat detection. The system may also integrate with external databases or law enforcement systems to cross-reference suspect information. The goal is to enhance public safety by enabling rapid response and proactive monitoring of high-risk areas. The system may operate in various environments, such as airports, public transportation hubs, or large public events, to ensure comprehensive surveillance coverage. The database server ensures that all relevant data is securely stored and accessible for authorized personnel.
12. A crowd surveillance device of claim 11, wherein the visualization device is adapted to receive or retrieve an alert and its corresponding information from the database.
A crowd surveillance system monitors and analyzes public spaces to detect and respond to security threats or unusual activities. The system includes sensors, such as cameras or motion detectors, that capture real-time data from a monitored area. This data is processed by an analytics module to identify potential threats, such as suspicious behavior, unauthorized access, or crowd disturbances. The system generates alerts when a threat is detected and stores relevant information in a centralized database, including timestamps, location data, and threat severity. The system also includes a visualization device, such as a display or mobile application, that retrieves alerts and their corresponding details from the database. This allows security personnel to quickly assess the situation, track threat progression, and coordinate responses. The visualization device may present alerts in a prioritized manner, highlighting critical incidents for immediate attention. Additionally, the system may integrate with external security systems, such as access control or emergency response networks, to enhance situational awareness and response efficiency. The goal is to improve public safety by enabling rapid detection and mitigation of threats in crowded environments.
13. A crowd surveillance device of claim 12, wherein the visualization device comprises a display for displaying the information.
A crowd surveillance system monitors and analyzes crowd behavior in real-time to detect anomalies, such as suspicious activities or potential threats. The system uses sensors, such as cameras or motion detectors, to gather data on crowd movement, density, and individual behavior. Advanced algorithms process this data to identify patterns, deviations, or unusual activities that may indicate risks. The system then generates alerts or notifications to security personnel or authorities, enabling timely intervention. A key component of the system is a visualization device that presents the collected and analyzed information in a user-friendly format. This device includes a display that shows real-time data, such as crowd density maps, movement trajectories, or highlighted areas of concern. The display may also provide historical data for comparison, helping operators assess trends and make informed decisions. The visualization device ensures that security personnel can quickly interpret the data and respond effectively to potential threats, enhancing public safety in crowded environments.
15. A method of claim 14, further comprising the step of triggering an alert and storing the images and related information to the database.
A system and method for monitoring and analyzing visual data involves capturing images from one or more cameras, processing the images to detect specific events or conditions, and generating alerts based on the detected events. The method includes analyzing the images to identify predefined patterns, anomalies, or objects of interest, such as motion, unauthorized access, or specific items. When an event is detected, the system triggers an alert to notify relevant personnel or systems. Additionally, the captured images and related metadata, such as timestamps, location data, and event details, are stored in a centralized database for further review, analysis, or compliance purposes. The database may be accessed by authorized users to retrieve historical data, generate reports, or investigate incidents. The system may also integrate with other security or monitoring systems to enhance situational awareness and response capabilities. The method ensures real-time detection and documentation of events while maintaining a record of visual and contextual data for future reference.
16. A method of claim 15, further comprising the step of displaying an alert, images and the information on a display device.
A system and method for processing and displaying data involves capturing input data, analyzing the data to extract relevant information, and generating outputs based on the analysis. The method includes receiving input data from one or more sources, such as sensors, user inputs, or external systems. The data is processed to identify key features, patterns, or anomalies, which are then used to generate actionable insights or alerts. The processed information, along with any associated images or visual representations, is displayed on a display device to provide users with real-time or historical data visualization. The display may include alerts, notifications, or other indicators to highlight critical information. The system ensures that users receive timely and accurate data for decision-making, monitoring, or control purposes. The method may be applied in various fields, including industrial automation, healthcare monitoring, security systems, or environmental monitoring, where real-time data processing and visualization are essential for effective operation. The display device can be integrated into the system or connected remotely, allowing for flexible deployment in different environments. The method enhances situational awareness by presenting data in a structured and visually accessible format, improving user efficiency and response times.
17. A method of claim 14, wherein the multi-sensor system is connected to the processing device through a wired connection.
A multi-sensor system is used to monitor environmental conditions, such as temperature, humidity, or air quality, in a controlled environment like a laboratory, industrial facility, or smart home. The system includes multiple sensors that collect data and transmit it to a processing device for analysis. The processing device processes the sensor data to detect anomalies, generate alerts, or adjust environmental controls. The sensors may be distributed across different locations to provide comprehensive monitoring. The processing device analyzes the sensor data to identify patterns, trends, or deviations from expected conditions, enabling proactive management of the environment. The system may also include a user interface to display real-time data, historical trends, and alerts. The multi-sensor system is connected to the processing device through a wired connection, ensuring reliable and secure data transmission. This wired connection may use Ethernet, USB, or other wired communication protocols to maintain a stable link between the sensors and the processing device. The system may also support additional features, such as data logging, remote access, or integration with other control systems. The method ensures accurate and timely monitoring of environmental conditions, improving efficiency and safety in the monitored environment.
18. A method of claim 14, wherein the multi-sensor system is connected to the processing device through a wireless connection.
A method for operating a multi-sensor system involves collecting data from multiple sensors and transmitting the data to a processing device. The sensors may include environmental, motion, or other types of sensors that gather information about a monitored environment or object. The processing device analyzes the sensor data to detect events, anomalies, or patterns, such as changes in environmental conditions or movement. The system may also include a user interface for displaying the analyzed data or alerts. In this method, the multi-sensor system is connected to the processing device through a wireless connection, allowing for remote data transmission and processing. The wireless connection may use protocols such as Wi-Fi, Bluetooth, or cellular networks, enabling flexibility in sensor placement and reducing installation complexity. The method ensures real-time or near-real-time data processing, which is useful in applications like environmental monitoring, security systems, or industrial automation. The wireless connection also supports scalability, allowing additional sensors to be added without extensive wiring. The system may include error handling to manage connection interruptions and ensure data integrity.
19. A method of claim 14, further comprising the step of storing the alert, the images and related information to a database server.
A system and method for monitoring and analyzing visual data involves capturing images from one or more cameras, processing the images to detect specific events or conditions, and generating alerts based on the detected events. The method includes analyzing the images to identify predefined patterns, anomalies, or objects of interest, such as motion, intrusions, or specific items. Upon detection, an alert is generated and transmitted to a user or monitoring system. The alert may include details about the detected event, such as location, time, and severity. Additionally, the alert, along with the associated images and related metadata, is stored in a centralized database server for record-keeping, further analysis, or retrieval. The database server may organize the data by timestamp, event type, or other relevant criteria to facilitate efficient access and review. This system is particularly useful in security, surveillance, and automated monitoring applications where real-time detection and historical data storage are essential. The method ensures that all relevant information is preserved for future reference, compliance, or forensic analysis.
20. A method of claim 19, further comprising the step of connecting to an alert visualization device for displaying an alert, images and the information.
This invention relates to a system for monitoring and alerting based on sensor data, particularly in environments where real-time detection and response are critical. The method involves collecting data from multiple sensors, processing the data to detect anomalies or predefined conditions, and generating alerts when such conditions are met. The system integrates with various types of sensors, including but not limited to motion, temperature, and environmental sensors, to ensure comprehensive monitoring. Once an alert is triggered, the system processes the sensor data to extract relevant information, such as the location, type, and severity of the detected event. The method further includes connecting to an alert visualization device, which displays the alert, associated images, and additional information to a user. This visualization device may be a display screen, mobile device, or other output interface, enabling users to quickly assess the situation and take appropriate action. The system is designed to enhance situational awareness and response efficiency in applications such as security monitoring, industrial safety, and environmental monitoring.
21. A method of claim 20, wherein the transforming image step comprises the step of transforming images received from the multi-sensor system and finding a mutual alignment by solving the corresponding problem in computer vision.
This invention relates to a method for processing images captured by a multi-sensor system, particularly in the field of computer vision. The method addresses the challenge of aligning images from multiple sensors to create a coherent representation, which is essential for applications like autonomous navigation, surveillance, and 3D reconstruction. The multi-sensor system may include cameras, LiDAR, or other imaging devices that capture data from different perspectives or modalities. The method involves transforming the received images to achieve mutual alignment by solving a computer vision problem. This typically includes techniques such as feature matching, geometric transformation, or optimization algorithms to align the images accurately. The alignment process ensures that the images can be combined or analyzed together, improving the accuracy and reliability of subsequent applications. The method may also involve preprocessing steps to enhance image quality or extract relevant features before alignment. The solution is particularly useful in dynamic environments where sensor data must be integrated in real-time for tasks like object detection, mapping, or scene understanding. By solving the alignment problem, the method enables more robust and efficient processing of multi-sensor data.
23. A method of claim 22, further comprising the step of analysing the suspicious target and concealed object identified from image analytic module across multiple frames.
This invention relates to image analysis for detecting and analyzing suspicious targets and concealed objects in video frames. The method involves processing video data to identify potential threats or hidden items that may not be immediately visible in a single frame. The system uses an image analytic module to detect these targets and objects, then further analyzes them across multiple frames to improve accuracy and reliability. By tracking and evaluating the detected items over time, the method reduces false positives and enhances the ability to distinguish between genuine threats and benign objects. The analysis may include assessing movement patterns, changes in appearance, or other temporal characteristics to confirm the presence of concealed objects or suspicious activity. This approach is particularly useful in security applications, such as surveillance systems, where detecting hidden threats is critical. The method ensures that detected anomalies are thoroughly examined before triggering alerts, improving the overall effectiveness of threat detection.
24. A method of claim 23, further comprising the step of confirming suspicious contraband of an individual and generate alert through accumulating the positive detection result from image analytic module across multiple time lapse frames.
This invention relates to contraband detection systems, specifically methods for identifying and confirming suspicious items carried by individuals using image analysis. The system addresses the challenge of accurately detecting contraband in real-time surveillance environments, where false positives or missed detections can occur due to variations in lighting, occlusion, or movement. The method involves analyzing multiple time-lapse frames from surveillance cameras to accumulate detection results from an image analytic module. By aggregating positive detections over time, the system improves confidence in identifying contraband, reducing false alarms. The process includes tracking an individual across frames, applying image analysis to detect suspicious items, and confirming the presence of contraband when consistent detections are observed. Once confirmed, the system generates an alert to notify security personnel. This approach enhances detection accuracy by leveraging temporal data, making it suitable for high-security areas like airports, prisons, or border checkpoints. The method may also integrate with other detection modules, such as metal detectors or X-ray scanners, to provide a comprehensive security solution. The invention aims to improve contraband detection efficiency while minimizing human intervention.
25. A method of claim 24, wherein the database server is adapted to storing and retrieving image data, and associate with a processing device connected to the multi-sensor system.
A system and method for managing image data in a distributed computing environment involves a database server configured to store and retrieve image data, along with a processing device connected to a multi-sensor system. The database server is specifically adapted to handle image data, ensuring efficient storage and retrieval operations. The processing device interfaces with the multi-sensor system, which may include various sensors such as cameras, thermal imagers, or other imaging devices, to capture and process image data. The system enables real-time or near-real-time data processing, where the processing device may perform tasks such as image analysis, feature extraction, or object recognition before storing the results in the database server. The database server is optimized for handling large volumes of image data, supporting fast access and retrieval for subsequent processing or analysis. The integration of the processing device with the multi-sensor system allows for seamless data flow, reducing latency and improving overall system performance. This approach is particularly useful in applications requiring high-speed image processing, such as surveillance, autonomous vehicles, or industrial automation, where timely and accurate data handling is critical. The system ensures scalability and reliability, accommodating varying data loads and ensuring consistent performance across different operational conditions.
26. A method of claim 25, wherein the database server is connected to an alert visualisation device.
A system and method for database management and alert visualization involves a database server that processes and stores data, including user-defined rules for generating alerts based on the stored data. The database server is configured to monitor the stored data in real-time or at scheduled intervals, applying the user-defined rules to detect conditions that trigger alerts. When an alert is generated, the database server sends the alert to an alert visualization device, which displays the alert in a user-friendly format. The alert visualization device may include a display screen, audio output, or other notification mechanisms to ensure timely awareness of the alert. The system may also include a user interface for defining and modifying the alert rules, as well as for configuring the alert visualization device's display and notification preferences. The method ensures efficient monitoring of database conditions and immediate notification of critical events, enhancing operational awareness and response capabilities.
27. A method of claim 26, wherein the database server is adapted to collect and store information of suspects once there is an alert asserted by the processing device.
A system and method for suspect identification and tracking involves a database server that collects and stores information about suspects when an alert is triggered by a processing device. The processing device analyzes data from one or more sensors to detect suspicious activity, such as unusual movement patterns, unauthorized access, or other anomalies. Once an alert is generated, the database server gathers relevant information about the suspect, including but not limited to biometric data, location history, and behavioral patterns. This information is then stored in a centralized database for further analysis, investigation, or legal proceedings. The system may also integrate with surveillance cameras, access control systems, and other security infrastructure to enhance suspect tracking and identification. The database server ensures secure storage and retrieval of suspect data, allowing authorized personnel to access the information as needed. The method improves security by automating the collection and storage of suspect-related data, reducing response times and improving the accuracy of investigations. The system is applicable in various security-sensitive environments, including law enforcement, corporate security, and public safety.
28. A method of claim 27, wherein the visualization device is adapted to receive or retrieve an alert and its corresponding information from the database.
A method for enhancing situational awareness in monitoring systems involves a visualization device that processes and displays alerts and related information from a database. The method includes receiving or retrieving an alert and its corresponding data from the database, where the alert may be generated based on predefined criteria or real-time conditions. The visualization device then processes this information to generate a visual representation, such as a graphical display or notification, to inform users of the alert status. The system may also include a database that stores alert data, including historical records, severity levels, and contextual details, to support decision-making. The visualization device can filter, prioritize, or customize the display of alerts based on user preferences or operational requirements. This approach improves efficiency in monitoring and response by providing timely and relevant information to users. The method ensures that alerts are accurately conveyed, reducing the risk of missed or delayed responses in critical situations. The system may also integrate with other data sources or communication networks to enhance alert management and situational awareness.
29. A method of claim 28, wherein the visualization device comprises a display for displaying the information.
A method for visualizing information using a device that includes a display screen. The method involves processing data to generate visual representations, such as graphs, charts, or images, and then presenting these representations on the display. The display may be part of a larger system that also includes sensors, processors, or other components to gather, analyze, or manipulate the data before visualization. The method ensures that the information is presented in a clear and interpretable format, improving user understanding and decision-making. The display may be integrated into a handheld device, a wearable device, or a stationary system, depending on the application. The method may also include adjusting the display settings, such as brightness or resolution, to optimize visibility under different conditions. This approach enhances the usability of data-driven systems by providing an intuitive and accessible way to view complex information.
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June 29, 2018
May 21, 2024
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